Publications
Peer-reviewed journal articles
1. Hector EC, Song PXK. (2020+) A distributed and integrated method of moments for high-dimensional correlated data analysis. Journal of the American Statistical Association, accepted.
2. Perng W, Hector EC, Song PXK, Tellez Rojo MM, Raskind S, Kachman M, Cantoral A, Burant BF, Peterson KE. Metabolomic determinants of metabolic risk in Mexican adolescents. Obesity (Silver Spring) 2017. doi:10.1002/oby.21926
Journal articles under review or revision
1. Hector EC, Song PXK. (2020+) Doubly distributed supervised learning and inference with high-dimensional correlated outcomes. In review.
R packages
1. DIMM: Performs distributed and integrated method of moments regression for high- dimensional correlated responses. Divides outcomes into blocks, analyses blocks using composite likelihood, and combines estimators using a one-step update or an optimal generalized method of moments (GMM) equation. Download the tarball here.
2. DDIMM: Performs doubly distributed and integrated method of moments regression for high-dimensional correlated responses. Divides outcomes and subjects into blocks, analyses blocks using composite likelihood or generalized estimating equations, and combines estimators using a one-step update or an optimal GMM equation.
Presentations
Oral presentations
1. Hector EC, Song PXK. Doubly distributed and integrated inference for correlated data with heterogeneous parameters. Joint Statistical Meetings (JSM) (2019). Denver, Colorado.
2. Hector EC, Song PXK. A distributed and integrated method of moments for high- dimensional correlated data analysis (invited). Workshop on Recent Developments in Statistical Theory and Methods Based on Distributed Computing (2018). Casa Matemática Oaxaca (CMO), Banff International Research Station for Mathematical Innovation and Discovery. Oaxaca, Mexico.
3. Hector EC, Song PXK. A distributed and integrated method of moments for high-dimensional correlated data analysis. International Biometric Society's Eastern North American Region (ENAR) meeting (2018).
4. Hector EC, Song PXK. A distributed and integrated method of moments for high-dimensional correlated data analysis. University of Michigan Data Science Research Forum (2017). Michigan Institute for Data Science (MIDAS). Video available here.
5. Hector EC, Song PXK. Regression analysis for high-dimensional correlated outcomes. Joint meeting (2017). University of Notre Dame.
6. Hector EC, Shepherd FB. An Introduction to Linear Programming and Applications to Research. Student Summer Colloquium (2013). McGill University.
Poster presentations
1. Hector EC, Song PXK. A doubly distributed and integrated method of moments for high-dimensional correlated data analysis. Joint Statistical Meetings (JSM) (2018). Vancouver, Canada.
2. Hector EC, Song PXK. Regression analysis for high-dimensional correlated outcomes. Spatial Statistics Conference (2017). University of Lancaster.
3. Hector EC, Goodrich JM, Tang L, Perng W, Dolinoy DC, Mercado-Garcia A, Hu H, Tellez-Rojo MM, Peterson KE, Song PXK. Change in variance of IGF2 gene methylation associated with three metabolites. ENAR Spring Meeting (2016).
Other
1. Hector EC. Panel Discussant. Fifth Bayesian, Fiducial and Frequentist (BFF5) Conference: Foundations of Data Science (2018). Ann Arbor, Michigan.
Peer-reviewed journal articles
1. Hector EC, Song PXK. (2020+) A distributed and integrated method of moments for high-dimensional correlated data analysis. Journal of the American Statistical Association, accepted.
2. Perng W, Hector EC, Song PXK, Tellez Rojo MM, Raskind S, Kachman M, Cantoral A, Burant BF, Peterson KE. Metabolomic determinants of metabolic risk in Mexican adolescents. Obesity (Silver Spring) 2017. doi:10.1002/oby.21926
Journal articles under review or revision
1. Hector EC, Song PXK. (2020+) Doubly distributed supervised learning and inference with high-dimensional correlated outcomes. In review.
R packages
1. DIMM: Performs distributed and integrated method of moments regression for high- dimensional correlated responses. Divides outcomes into blocks, analyses blocks using composite likelihood, and combines estimators using a one-step update or an optimal generalized method of moments (GMM) equation. Download the tarball here.
2. DDIMM: Performs doubly distributed and integrated method of moments regression for high-dimensional correlated responses. Divides outcomes and subjects into blocks, analyses blocks using composite likelihood or generalized estimating equations, and combines estimators using a one-step update or an optimal GMM equation.
Presentations
Oral presentations
1. Hector EC, Song PXK. Doubly distributed and integrated inference for correlated data with heterogeneous parameters. Joint Statistical Meetings (JSM) (2019). Denver, Colorado.
2. Hector EC, Song PXK. A distributed and integrated method of moments for high- dimensional correlated data analysis (invited). Workshop on Recent Developments in Statistical Theory and Methods Based on Distributed Computing (2018). Casa Matemática Oaxaca (CMO), Banff International Research Station for Mathematical Innovation and Discovery. Oaxaca, Mexico.
3. Hector EC, Song PXK. A distributed and integrated method of moments for high-dimensional correlated data analysis. International Biometric Society's Eastern North American Region (ENAR) meeting (2018).
4. Hector EC, Song PXK. A distributed and integrated method of moments for high-dimensional correlated data analysis. University of Michigan Data Science Research Forum (2017). Michigan Institute for Data Science (MIDAS). Video available here.
5. Hector EC, Song PXK. Regression analysis for high-dimensional correlated outcomes. Joint meeting (2017). University of Notre Dame.
6. Hector EC, Shepherd FB. An Introduction to Linear Programming and Applications to Research. Student Summer Colloquium (2013). McGill University.
Poster presentations
1. Hector EC, Song PXK. A doubly distributed and integrated method of moments for high-dimensional correlated data analysis. Joint Statistical Meetings (JSM) (2018). Vancouver, Canada.
2. Hector EC, Song PXK. Regression analysis for high-dimensional correlated outcomes. Spatial Statistics Conference (2017). University of Lancaster.
3. Hector EC, Goodrich JM, Tang L, Perng W, Dolinoy DC, Mercado-Garcia A, Hu H, Tellez-Rojo MM, Peterson KE, Song PXK. Change in variance of IGF2 gene methylation associated with three metabolites. ENAR Spring Meeting (2016).
Other
1. Hector EC. Panel Discussant. Fifth Bayesian, Fiducial and Frequentist (BFF5) Conference: Foundations of Data Science (2018). Ann Arbor, Michigan.
